Multi-view intact space clustering
Multi-view intact space clustering is a scholarly work, published in 2019 in ''Pattern Recognition''. The main subjects of the publication include political representation, feature engineering, data mining, space, artificial intelligence, computer science, Cluster, facial recognition system, distortion, Multiple object tracking, pattern recognition, cluster analysis, and centroid. The authors propose a novel multi-view clustering method termed multi-view intact space clustering (MVIC), which is able to simultaneously recover the latent intact space from multiple insufficient views and discover the cluster structure from the intact space.